Analysis of Insect-Plant Interactions Affected by Mining Operations, A Graph Mining Approach
Ali Bayat, Mohammad Heydari, Amir Albadvi

TL;DR
This paper applies graph mining and network science techniques to analyze insect-plant interactions affected by mining, aiming to identify key species, predict extinctions, and assess ecosystem damage in Scotland.
Contribution
It introduces a novel application of network science to biological interaction data, focusing on conservation amid mining impacts.
Findings
Identified key species crucial for ecosystem stability
Developed models to predict secondary extinctions
Assessed the extent of ecosystem damage due to mining
Abstract
The decline in ecological connections signifies the potential extinction of species, which can be attributed to disruptions and alterations. The decrease in interconnections among species reflects their susceptibility to changes. For example, certain insects and plants that rely on exclusive interactions with a limited number of species, or even a specific species, face the risk of extinction if they lose these crucial connections. Currently, mining activities pose significant harm to natural ecosystems, resulting in various adverse environmental impacts. In this study, we utilized network science techniques to analyze the ecosystem in a graph-based structure, aiming to conserve the ecosystem affected by mining operations in the northern region of Scotland. The research encompasses identifying the most vital members of the network, establishing criteria for identifying communities…
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Taxonomy
TopicsBioinformatics and Genomic Networks
